A stochastic real-time hybrid simulation of the seismic response of a magnetorheological damper
OPEN ACCESS
Loading...
Author / Producer
Date
2021
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Real-time hybrid simulation is an effective method to obtain the response of an emulated system subjected to dynamic excitation by combining loading-rate-sensitive numerical and physical substructures. Albeit, the parameters that character ize the hybrid model are often deterministic. The values of these parameters are regularly determined through deliberate simplifications, ignoring the associated uncertainties. However, the effect of uncertainties may be significant. Stochastic hybrid simulation is an extension of the state-of-the-art hybrid simulation to address the dynamic response of uncertain structural systems under uncertain operating conditions. Under this concept, the parameters of the emulated sys tem are treated as random variables with known probability distributions. The results of stochastic hybrid simulations are probability distributions of the structural response quantities of interest. The arising question is one of sensitivity, namely, to what extent each of the random variables affects the outcomes of stochastic hybrid simulations. In this study, the seismic response of a structure with a magnetorheological (MR) damper is examined. The strongly non linear behavior of MR dampers amplifies the effects of the uncertainties of the model parameters on the response. A virtual hybrid model is used, where the structure and the MR damper are represented using numerical substructures. In a virtual stochastic hybrid simulation, parameters of the hybrid model and the excitation are treated as random variables in repeated real-time hybrid response simulations to the same random excitation. Based on this simulation data, surrogate models are developed. Multiple additional runs of the surrogate model give a deeper insight into the performance of the examined system under uncertainties. Global Sensitivity Analysis is performed to identify the effect of model and excitation parameters on the response of the system.
Permanent link
Publication status
published
External links
Editor
Book title
Proceedings of the Seventeenth World Conference on Earthquake Engineering Japan 2021
Journal / series
Volume
Pages / Article No.
Publisher
National Information Center of Earthquake Engineering
Event
17th World Conference on Earthquake Engineering (17WCEE 2020-21)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
stochastic real-time hybrid simulation; dynamic response; MR dampers; model predictive control (MPC); uncertainty quantification; surrogate modelling; sensitivity analysis
Organisational unit
03930 - Stojadinovic, Bozidar / Stojadinovic, Bozidar
Notes
Conference lecture held on September 29, 2021. Conference postponed due to Corona virus (COVID-19), and rescheduled from September 13 –18, 2020 to September 27 – October 2, 2021.
Funding
764547 - Dynamic virtualisation: modelling performance of engineering structures (EC)